Instructions to use hf-internal-testing/tiny-random-BartForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BartForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BartForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-BartForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f48e7abb779ae69eab9f73e2482fe6e63795fb8ddd6f1e25d8ae31959536d7f9
- Size of remote file:
- 310 kB
- SHA256:
- 056dffda3927a19fac2a15230cdb010a2562420ce0db804a6a1bf1c8eff02eaa
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